Kanchan Bawane

Introduction  In this blog, we will show you how to build a conversational search application that can interact with Azure Cognitive Search (ACS) and retrieve relevant content from a web-scraped index by asking natural language questions, requesting for summary information, and using vector search. The application will also use OpenAI embeddings, which are pre-trained models […]

Introduction In the previous blog post, we showed you how to scrap a website, extract its content using Python, and store it in Azure Blob Storage. In this blog post, we will show you how to use the Azure Blob data and store it in Azure Cognitive Search (ACS) along with vectors. We will use […]

Introduction The web is a vast source of information, but it is not always easy to access and use for natural language applications. In this blog post, we will show you how to crawl and scrape the target URL, extract and clean the content, and store it in Azure Blob Storage. We will use Python […]

In this blog, we will explore how we can effectively utilize Langchain, Azure OpenAI Text embedding ADA model and Faiss Vector Store to build a private chatbot that can query a document uploaded from local storage. A private chatbot is a chatbot that can interact with you using natural language and provide you with information […]

In this blog, we will explore how to integrate Coveo Headless, a powerful search and relevance platform, with OpenUI5, a popular UI framework for building web applications. As search functionality becomes increasingly crucial for modern applications, this integration will allow us to create an advanced search experience within OpenUI5 projects. Introduction Coveo Headless is a […]

In our previous blog post, “Coveo Headless Library Integration with OPENUI5 Framework: Development Environment Setup – Phase I,” we started the integration between Coveo Headless and OpenUi5. Coveo Headless is a search and relevance platform, and OpenUI5 is a dynamic UI framework for web application development. Phase I establishes the foundation for what we’re about […]

Introduction: Embeddings are essential in the fields of natural language processing (NLP) and machine learning because they convert words and phrases into numerical vectors. By successfully capturing semantic linkages and contextual meanings, these vectors help machines comprehend and process human language. We will examine the idea of embeddings in this blog, learn about their uses, […]

Introduction In Hugging Face, a translation model is a pre-trained deep learning model that can be used for machine translation tasks, These models are pre-trained on large amounts of multilingual data and fine-tuned on translation-specific datasets. To use a translation model in Hugging Face, we typically load the model using the from_pretrained() function, which fetches […]

Introduction: Welcome, to this comprehensive blog post about COVEO – a cutting-edge technology that is revolutionizing the way we search and access information. In this blog, we will delve into what COVEO is, its key features, benefits, and how it enhances the overall user experience. Whether you’re an IT professional, a developer, or simply curious […]